[[abstract]]A new concept for the optimization of nonlinear functions is proposed. For most of the proposed evolutionary optimization algorithms, such as particle swarm optimization and ant colony optimization, they search the solution space by sharing known knowledge. The proposed algorithm is based on the Einstein's general theory of relativity, which we utilize the concept of gravitational field to search for the global optimal solution for a given problem. In this paper, detail procedure of the proposed algorithm is introduced. The proposed algorithm has been tested on an application that is known difficult with promising and exciting results.[[notice]]補正完畢[[incitationindex]]E
Context. Mathematical optimization can be used as a computational tool to obtain the optimal solutio...
In this article, a new meta-heuristic method is proposed by combining particle swarm optimization (P...
In this article, a new meta-heuristic method is proposed by combining particle swarm optimization (P...
In this article, a new meta-heuristic method is proposed by combining particle swarm optimization (P...
Abstract—Designing a fast and efficient optimization method with local optima avoidance capability o...
Universal gravitation is a natural phenomenon. Inspired by Newton's universal gravitation model and ...
We propose two different heuristics for obtaining global optimum of several nonlinear functions, som...
In recent years, several optimization methods especially metaheuristic optimization methods have bee...
The choice of the best optimization algorithm is a hard issue, and it sometime depends on specific p...
The choice of the best optimization algorithm is a hard issue, and it sometime depends on specific p...
The choice of the best optimization algorithm is a hard issue, and it sometime depends on specific p...
The choice of the best optimization algorithm is a hard issue, and it sometime depends on specific p...
Context. Mathematical optimization can be used as a computational tool to obtain the optimal solutio...
Context. Mathematical optimization can be used as a computational tool to obtain the optimal solutio...
This paper presents a novel algorithm, which is based on Gravitational Search Algorithm (GSA), for m...
Context. Mathematical optimization can be used as a computational tool to obtain the optimal solutio...
In this article, a new meta-heuristic method is proposed by combining particle swarm optimization (P...
In this article, a new meta-heuristic method is proposed by combining particle swarm optimization (P...
In this article, a new meta-heuristic method is proposed by combining particle swarm optimization (P...
Abstract—Designing a fast and efficient optimization method with local optima avoidance capability o...
Universal gravitation is a natural phenomenon. Inspired by Newton's universal gravitation model and ...
We propose two different heuristics for obtaining global optimum of several nonlinear functions, som...
In recent years, several optimization methods especially metaheuristic optimization methods have bee...
The choice of the best optimization algorithm is a hard issue, and it sometime depends on specific p...
The choice of the best optimization algorithm is a hard issue, and it sometime depends on specific p...
The choice of the best optimization algorithm is a hard issue, and it sometime depends on specific p...
The choice of the best optimization algorithm is a hard issue, and it sometime depends on specific p...
Context. Mathematical optimization can be used as a computational tool to obtain the optimal solutio...
Context. Mathematical optimization can be used as a computational tool to obtain the optimal solutio...
This paper presents a novel algorithm, which is based on Gravitational Search Algorithm (GSA), for m...
Context. Mathematical optimization can be used as a computational tool to obtain the optimal solutio...
In this article, a new meta-heuristic method is proposed by combining particle swarm optimization (P...
In this article, a new meta-heuristic method is proposed by combining particle swarm optimization (P...